Noise from unmanned aerial vehicles, commonly referred to as “drones,” will likely shape our acoustic environment in the near future. Yet, reactions of population this new noise source are still little explored. The objective study was investigate short-term annoyance drones a controlled laboratory experiment. Annoyance (i) two quadcopters different sizes relation common contemporary transportation sources (jet aircraft, propeller helicopters, single car passbys), and (ii) drone maneuvers...

As aircraft noise affects large areas around airports, exposure calculations need to be highly accurate. In this study, we compare measurements with of several thousand single flights at Zurich and Geneva Switzerland, three calculation programs: sonAIR, a next-generation program, the two current best-practice programs FLULA2 AEDT. For one part flights, had access flight data recorder (FDR) data, which contain configuration information that sonAIR can account for. other part, only radar...

This study presents a novel machine learning approach for estimating the flap and landing gear configurations of civil jet aircraft based on position data. Optimized noise calculations, this method simplifies estimation process by grouping various configuration states, thereby reducing potential errors focusing significant impact assessments. Validation holdout data demonstrates method’s high accuracy improving predictions. When integrated into model sonAIR, inclusion estimated settings...

This paper presents an approach for estimating the power setting, indicated as N1, rotational speed of low-pressure shaft, departing civil jet aircraft to be used input accurate noise calculations. The method utilizes machine learning random forest regression and is trained using flight data recorder divided into three departure sections. Each section uses a unique set four model features based on easily accessible data, such position airport meteorological data. Unlike previous methods,...

There is a growing interest for commercial applications of Unmanned Aerial Vehicles, but important foundations an assessment, among others about noise, are missing. This contribution specifically focuses on method to measure and model the sound radiation multicopters. The emission prediction hereby based measurements using multiple regression approach. An finding that directivity pattern widely independent rotational speed rotors flight procedure. Consequently, can be determined stationary...

Aircraft noise affects large areas around airports. Noise calculation programs therefore need to account for air operations with high accuracy. In this contribution, we simulated several thousand single flights the three aircraft FLULA2, sonAIR and AEDT, compared results among each other corresponding measurements evaluate their While FLULA2 calculations are adjusted local conditions, AEDT was run default settings (NPD data standard procedural profiles) assess its performance when using...

Aircraft noise is a significant problem for communities surrounding airports. Accurate prediction models are needed to estimate levels from aircraft operations. In this research, the accuracy of sonAIR model in predicting departures around Schiphol airport evaluated by comparison measurement data NOMOS and current best-practice modelling approach Doc29. Results show but consistent underestimation sonAIR, mainly due generalisation emission models. The standard deviation differences between...

Air traffic has appreciable environmental impacts, especially regarding gaseous emissions and noise. Recent studies have shown that the energy management during approach is a driving factor impact challenging for pilots. In previous project, newly developed pilot assistance system called LNAS (Low Noise Augmentation System) showed potential of energy-optimized approaches to reduce fuel consumption Within SESAR Exploratory Research project DYNCAT, novel functions based on been integrated in...

With the prospect of small UAVs being more commonly used for tasks like surveillance or parcel transport within inhabited areas, demand noise regulations arises. The assessment UAV operations can be investigated through laboratory listening experiments using auralized sound stimuli. Sound recordings source signals dynamic flight have to performed outdoors where measurements with stationary microphones impose uncertainties in backpropagation and suffer from bad signal-to-noise ratio due weak...

The next-generation aircraft noise simulation program sonAIR was designed to precisely predict single flights with the scope of investigating and optimizing abatement flight procedures. Recently, implemented in a geographic information system (GIS) make it suitable for mapping calculations entire airport scenarios. In this study, we conducted first annual exposure Geneva Zurich airports, Switzerland, year 2017, simulating several 10'000 accounting real conditions great detail (e.g., detailed...

Current best-practice aircraft noise calculation models usually apply a so-called lateral attenuation term, i.e., an empirical formula to account for sound propagation phenomena in situations with grazing incidence. The recently developed model sonAIR features physically based core that claims implicitly the condensed this correction. current study compares calculations incidence of and two models, AEDT FLULA2, measurements. validation dataset includes on one hand large number commercial...